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I would like to suggest adding Optimization functions, machine learning and deep learning algorithms in this repository. This can be added in a separate folder called `machine_learning` folder. Furthe…
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Would you please advise how to get K nearest neighbors for each data point using the python interface?
I believe this is possible based on " KNN itself is also exposed for advanced usage which retur…
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伟大光荣,万能的hub主,能帮忙实现这篇论文吗?
[A novel purity-based k nearest neighbors imputation method and its application in financial distress prediction](https://doi.org/10.1016/j.engappai.2019.03.003)
[Adaptive m…
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I'm trying to predict using trained model and facing the following error:
```
InvalidParameterError Traceback (most recent call last)
Cell In[16], line 13
11 for i, v…
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## Section: Machine Learning
deadline: 3rd October 2021
- [x] K-NN (K-Nearest Neighbors)
- [ ] Naive Bayes
- [ ] Support Vector Machine
- [ ] Random Forest
- [ ] AdaBoost
- [ ] Gradient Boo…
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I am encountering following issue during k nearest neighbors script run, can you please help
![Screen Shot 2023-03-15 at 10 44 59 PM](https://user-images.githubusercontent.com/21051117/225620696-…
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# KNN 알고리즘
- K Nearest Neighbors (k-최근접 이웃 분류 알고리즘)
- 간단히 말해서 유유상종을 분리하는 알고리즘
- 데이터로 부터 거리가 가까운 k개의 다른 데이터의 레이블을 참조해서 분류하는 알고리즘으로 (거리는 유클리디안 거리계산법 이용)
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Is it possible to tell the HNSW algorithm to skip a given set of nodes during search/traversal?
Note that I do not want "delete" nodes.
I just want the traversal to skip a set of pre-determined …
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I see this quark is long unmaintained, so probably just a note for future self:
KDTree doesn't do K-Nearest Neighbors: it always returns one item, regardless of k.
KNN was planned but never imple…
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O(N^2) algorithm of K-Means and Nearest Neighbors can be massively accelerated using GPUs.
Proof of concept: https://github.com/arnocandel/kmcuda